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Graph-guided multi-task sparse learning model: a method for identifying antigenic variants of influenza A(H3N2) virus
MOTIVATION: Influenza virus antigenic variants continue to emerge and cause disease outbreaks. Time-consuming, costly and middle-throughput serologic methods using virus isolates are routinely used to identify influenza antigenic variants for vaccine strain selection. However, the resulting data are...
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| Yayımlandı: | Bioinformatics |
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| Asıl Yazarlar: | , , , , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Oxford University Press
2019
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6298058/ https://ncbi.nlm.nih.gov/pubmed/29878046 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty457 |
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